DocumentCode :
2962004
Title :
Toward a methodology for optimizing algorithm-architecture adequacy for implementation reconfigurable system
Author :
Liu, Ting ; Tanougast, Camel ; Weber, Serge
Author_Institution :
Univ. Henri Poincare Nancy I, Nancy
fYear :
2006
fDate :
10-13 Dec. 2006
Firstpage :
1085
Lastpage :
1088
Abstract :
This paper presents a strategy for the optimal implementation of algorithms on reconfigurable system based on FPGA technology. The advantage and the originality of our approach are that the implementation obtained combines the execution of algorithm in dynamic reconfiguration realized by temporal hardware partitioning and/or architectural synthesis based on the re-using of the operators. Our approach starts from a CDFG (control-data flow graph) description of an algorithm, and proposes a final implementation based on the computation of the mutual exclusion rate (M.E.R.) parameter for choosing the algorithm parts based on RTR (run time reconfiguration) or AS (architectural synthesis) execution. We also give a general description of the approach. We motivate the effectiveness of this approach by presenting the implementation results of the AES encryption algorithm.
Keywords :
data flow graphs; field programmable gate arrays; FPGA technology; advanced encryption standard algorithm; algorithm-architecture adequacy; architectural synthesis; control-data flow graph; dynamic reconfiguration; field programmable gate arrays; mutual exclusion rate; reconfigurable system; run time reconfiguration; temporal hardware partitioning; Control system synthesis; Cryptography; Field programmable gate arrays; Flow graphs; Hardware; Heuristic algorithms; Optimization methods; Paper technology; Partitioning algorithms; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
1-4244-0395-2
Electronic_ISBN :
1-4244-0395-2
Type :
conf
DOI :
10.1109/ICECS.2006.379627
Filename :
4263559
Link To Document :
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